Ruiyun Li

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Norwegian version of this page
Room 3422B
Username
Visiting address Blindernveien 31 0371 Oslo
Postal address Postboks 1066 Blindern 0316 Oslo

Background and academic interests

I am a researcher at CEES where I collaborate with Prof. Nils Chr. Stenseth and the team. My research interests cover health geographics, mathematical epidemiology and public health. Throughout my early career, I have engaged extensively with methodological innovation for the spread of multiple diseases, leveraging multidisciplinary approaches to investigate diffusions of avian influenza, dengue, malaria and coronavirus, across various spatio-temporal scales.

My PhD was completed at Beijing Normal University, pursuing interdisciplinary work studying biogeography and the environmental determinants of infectious disease transmission. I trained in mathematical epidemiology at Columbia University and CEES, and worked as a research associate in Imperial College London.

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Tags: Epidemiology, Modelling, Spatio-temporal, Corona virus, COVID-19, Dengue

Publications

Li, R.*, Bj.rnstad, ON., Stenseth, NC*. (2021) Prioritizing vaccination by age and social activity to advance societal health benefits in Norway: a modelling study. The Lancet Regional Health – Europe 100200.

Li, R.*, Metcalf, CJE., Stenseth, NC., Bj.rnstad, ON*. (2021) A general model for the demographic signatures of the transition from pandemic emergence to endemicity. Sci Adv 7:eabf9040.

Li, R. (2020) Mobility restrictions are more than transient reduction of travel activities. Proc Natl Acad Sci USA 118:1 e2023895118.

Li, R.#, Chen, B.#, Zhang, T., …, Xu, B. (2020) Global COVID-19 pandemic demands joint interventions for the suppression of future waves. Proc Natl Acad Sci USA 117:26151−26157.

Li, R.#, Pei, S.#, Chen, B.#, Song, Y., Zhang, T., …, Shaman, J*. (2020) Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2). Science 368:489–493.

Li, R., Xu, L., Bj.rnstad, O. N., Liu, K., Song, T., Chen, A., … Stenseth, N. C. (2019). Climate-driven variation in mosquito density predicts the spatio-temporal dynamics of dengue. Proc Natl Acad Sci USA 116:3624−2629.

Published Jan. 22, 2021 2:29 PM - Last modified Aug. 22, 2021 2:26 PM